Tag: SMB

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Fix the Data, Then Let AI Scale It

For SMB’s Using Solutions like QuickBooks Online, Service Titan or Jobber, High-Quality Data Is Critical for AI

Many small and mid-sized businesses now run on a combination of operational and financial tools. A typical stack might be QuickBooks Online (QBO) for accounting plus Service Titan or Jobber for field operations. Noobeh helps these businesses centralize their data, making it available for analysis and AI.

What we increasingly find is that various AI vendors promise AI-powered forecasting, automation and insights, but AI does not create clarity on its own. When data across these systems is inconsistent or poorly structured, AI simply automates confusion. To get real value from AI, SMBs must first ensure their data is accurate, aligned, and trustworthy.

The Reality of Disconnected SMB Systems

For these small businesses, each system serves a different purpose. QuickBooks tracks financial transactions, revenue, and expenses, where Service Titan or Jobber manages the jobs, customers, technicians and billing. There may be problems lurking in these various systems, and it is often revealed when the data is centralized and made ready for reporting and AI-enabled analytics.

These problems arise when the same business concepts—customers, jobs, revenue, costs—are represented differently in each system. Common examples of this include jobs marked as complete in Service Titan or Jobber but not fully invoiced in QBO, or customers duplicated or named differently across platforms, or any situation where manual spreadsheet adjustments are needed to make the reports work.

Imagine training your AI on this data. It isn’t going to resolve the data issues or repair them, it will repeat them at scale.

A Practical AI-Ready Data Path for SMBs

Before deploying AI features across QBO, Service Titan or Jobber, our consulting teams help our clients focus on making sure the data is ready by cleaning and standardizing QBO financial data and ensuring jobs, customers, and invoices align across systems. Our cloud services team leverages Azure platform services to create automation and eliminate manual spreadsheets and workarounds. Then we centralize the data in Microsoft Fabric, creating a single source of truth allowing reports to be validated prior to laying AI on top. This approach turns AI from a grand experiment into a dependable business tool.

Trust Is the Real Measure of AI Success

AI only delivers value when business owners, finance teams, and operators trust the outputs. That trust comes from seeing numbers that reconcile, reports that make sense, and predictions that align with reality. When this alignment occurs through high-quality data, AI forecasts become credible and insights are explainable. Decision-making improves consistently.

Fix the Data, Then Let AI Scale It

AI can help SMBs compete with much larger organizations—but only when it’s built on a strong data foundation. QuickBooks Online, Service Titan, Jobber, and Microsoft Fabric form a powerful stack, but their value depends on data quality and alignment.

For SMBs, the winning strategy is clear: fix the data first, then let AI scale what’s already working.

jm bunny feetMake Sense?

J

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PowerBI, Data Warehouses and Combining QuickBooks Enterprise Data with Other Data

Businesses of all types are looking for ways to discover more useful information hidden in their systems. With a desire to implement business intelligence tools such as Microsoft PowerBI, companies need the ability to combine and analyze data coming from a variety of sources. The data can help businesses inform their conclusions rather than leaving it up to “gut”, supporting decision making in all areas of the company.

The tools for exposing and combining data are many. Enterprise ETL (Extract/Transform/Load) products have been available for many years. When it comes to SMBs and the applications they utilize, the options aren’t quite as prevalent nor as powerful. In most cases, businesses are left to working with data exports and a bunch of linked Excel worksheets.

Noobeh understands that businesses need their data available for integration, analysis and reporting. Noobeh are experts in deploying SMB applications such as QuickBooks Enterprise desktop, Acctivate Inventory, Sage ERP, MISys Manufacturing and more, all on the Microsoft Azure platform, positioning the applications and their data perfectly for use in business analytics and data warehouses.

Data warehouses and data lakes are growing in popularity because there is simply too much disparate data present in any growing business to effectively analyze it one data silo at a time. The number and variety of data sources in a single small business can be far larger than the company realizes until it attempts to capture and report on that data.

Any approach to data warehousing should consider the potential number and variety of data sources involved. This is among the reasons for Noobeh electing to work with Microsoft Azure and PowerBI. The Azure platform provides the infrastructure services and platform tools to enable data connections needed, powering the data warehouse and exposing the data to PowerBI and other reporting and analysis tools.

Even QuickBooks Enterprise desktop data can be extracted into its own standalone data warehouse, connected to a broader data warehouse and then combined with other business data. When businesses can combine data from their various solutions, even those which may still be desktop-bound, the power of the information and intelligence contained in it can be revealed.

Whether the purpose is process improvement, performance monitoring, management reporting or combined operational intelligence, collecting and storing the data is the first step. Noobeh is there to help make it happen.

jm bunny feetMake sense?

J